AI Large Model Education RobotProduct Brochure
Sandbox Edition ROS Educational Robot
Lane Training and Traffic Sign Recognition
Product Details
Product Overview
The sandbox version delivers the vehicle and environment together, enabling students to run a complete perception-decision-execution loop on track with path tracking and road sign recognition—no need to set up the venue manually.
The sensor supports a LiDAR + optional mmWave radar configuration, enabling comparison of single-sensor vs. fused performance in structured environments.
Other models in the same series
Key Features
- Comes with a built-in sandbox environment, integrating lane training and road sign recognition.
- Ackerman and Mecanum drive options available, compatible with N10P / M10P LiDAR
- Optional MR20 mmWave radar for multi-sensor fusion training
Typical Applications
- Introduction to Autonomous Driving: Course & Lab Demo
- Lane Line Recognition and Road Sign Detection Algorithm Verification
- Comparative Experiment on Fusion of LiDAR and Millimeter-Wave Radar
Technical Specifications (12Item
- Product Version
- V550 Ackermann Sandbox / V550 Mecanum Sandbox
- Overall Dimensions
- 280×189×328mm / 260×228×329mm
- Drive Wheel
- 65mm Blue Rubber Wheel / 75mm Omni-Directional Mecanum Wheel
- Curb Weight
- 3.3kg / 4.2kg
- Load Capacity
- 4 kg
- Maximum Speed
- 1 m/s
- motor
- MG513 Metal Gear Reduction Motor
- Encoder
- 500-wire AB GMR encoder (patent 202122109210.2)
- Low-level Controller
- STM32F407VET6
- LiDAR
- Leishen N10P / M10P Serial Port Edition
- millimeter-wave radar
- MR20 mmWave Radar (Optional)
- Scenario Features
- Lane Line Training, Road Sign Recognition, and Path Following with Obstacle Avoidance Demo